Search results for "Rule-based system"

showing 5 items of 15 documents

A Proposed Knowledge Based Approach for Solving Proteomics Issues

2010

In this paper we present a novel knowledge-based approach that aims at helping scientists to face and resolve a large number of proteomics problem. The system architecture is based on an ontology to model the knowledge base, a reasoner that starting from the user's request and a set of rules builds the workflow of tasks to be done, and an executor that runs the algorithms and software scheduled by the reasoner. The system can interact with the user showing him intermediate results and several options in order to refine the workflow and supporting him to choose among different forks. Thanks to the presence of the knowledge base and the modularity provided by the ontology, the system can be e…

ProteomicsKnowledge-based systemOntologyComputer sciencebusiness.industryProteomicDSS Proteomics Rule-based SystemSemantic reasonerOntology (information science)ExecutorMachine learningcomputer.software_genreExpert systemKnowledge-based systemsWorkflowKnowledge baseSystems architectureArtificial intelligenceSoftware engineeringbusinesscomputer
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A Context-Aware System for Ambient Assisted Living

2017

In the near future, the world's population will be characterized by an increasing average age, and consequently, the number of people requiring for a special household assistance will dramatically rise. In this scenario, smart homes will significantly help users to increase their quality of life, while maintaining a great level of autonomy. This paper presents a system for Ambient Assisted Living (AAL) capable of understanding context and user's behavior by exploiting data gathered by a pervasive sensor network. The knowledge inferred by adopting a Bayesian knowledge extraction approach is exploited to disambiguate the collected observations, making the AAL system able to detect and predict…

QA75Computer sciencemedia_common.quotation_subjectPopulationAmbient Assisted LivingContext (language use)02 engineering and technologyTheoretical Computer ScienceDynamic Bayesian NetworkKnowledge extractionQuality of lifeRule-based reasoningHuman–computer interactionHome automation0202 electrical engineering electronic engineering information engineeringContext awarenesseducationmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionieducation.field_of_studyMulti-sensor data fusionbusiness.industryComputer Science (all)Context awarene020206 networking & telecommunicationsRule-based system020201 artificial intelligence & image processingbusinessWireless sensor networkAutonomy
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A Dynamic Reasoning Architecture for Computer Network Management

2005

This paper focuses on improving network management and monitoring by the adoption of Artificial Intelli- gence techniques. In order to allow automated reasoning on networking concepts, we defined an accurate ontologi- cal model capable of describing as better as possible the networking domain. The thorough representation of the do- main knowledge is used by a Logical Reasoner, which is an expert system capable of performing high-level manage- ment tasks.

Reasoning systemArtificial architectureOpportunistic reasoningKnowledge representation and reasoningbusiness.industryComputer scienceMulti-agent systemRule-based systemMarketing and artificial intelligenceLegal expert systemSemantic reasonerModel-based reasoningcomputer.software_genreExpert systemArtificial intelligence situated approachProcedural reasoning systemOntologyDomain knowledgecomputer network managementAutomated reasoningArtificial intelligencebusinessSoftware engineeringcomputer
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A Rule-Based System for Hardware Configuration and Programming of IoT Devices

2019

Simplifying programming, deployment, and configuration of heterogeneous networked IoT devices requires networking, hardware, representation of knowledge and concepts, design and programming skills. In fact, IoT applications are mostly built by adopting different existing paradigms and technologies on a case-by-case basis. As a result, programming tools hinder adaptability and interoperability of applications with their rigidity. In this paper, we propose a rule-based system that configures and programs IoT devices automatically. The rule base holds formal specifications about hardware platforms, networking protocols, physical world concepts, and applications. Provided with a high-level appl…

Symbolic programmingFormal knowledge representationbusiness.industryComputer scienceSymbolic programmingmedia_common.quotation_subjectInteroperabilityRule-based systemAdaptabilitySoftware deploymentCode generationCode generationFORTHbusinessInternet of ThingsComputer hardwaremedia_common
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Null Space Based Image Recognition Using Incremental Eigendecomposition

2011

An incremental approach to the discriminative common vector (DCV) method for image recognition is considered. Discriminative projections are tackled in the particular context in which new training data becomes available and learned subspaces may need continuous updating. Starting from incremental eigendecomposition of scatter matrices, an efficient updating rule based on projections and orthogonalization is given. The corresponding algorithm has been empirically assessed and compared to its batch counterpart. The same good properties and performance results of the original method are kept but with a dramatic decrease in the computation needed.

Training setbusiness.industryComputationContext (language use)Pattern recognitionRule-based systemLinear subspaceDiscriminative modelComputer visionArtificial intelligencebusinessOrthogonalizationEigendecomposition of a matrixMathematics
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